{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "062bddf5-7f9c-4cb6-ad68-f1a140a50ee2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "w= [1702.04242424] b= [-922.33333333]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "x=np.array([[1],[2],[3],[4],[5],[6],[7],[8],[9],[10]])\n",
    "y=np.array([[2000],[2200],[4900],[3221],[6834],[10567],[9556],[15678],[13644],[15789]])\n",
    "model=LinearRegression()\n",
    "model.fit(x,y)\n",
    "print(\"w=\",model.coef_[0],\"b=\",model.intercept_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "02a8bb36-a182-4cc2-9a54-9a6da04e4235",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "y2=model.predict(x)\n",
    "plt.title('工龄与平均工资之间的关系图')\n",
    "plt.xlabel('工龄/年')\n",
    "plt.ylabel('平均工资/元')\n",
    "plt.rcParams['font.sans-serif']='Simhei'\n",
    "plt.axis([0,16,1500,20000])\n",
    "plt.scatter(x,y,s=60,c='k',marker='o')\n",
    "plt.plot(x,y2,'r-')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "147bafd9-e154-4bad-8a1d-05617e4c5c31",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
